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Kollin W. Rott; Gert Bronfort; Haitao Chu; Jared D. Huling; Brent Leininger; Mohammad Hassan Murad; Zhen Wang; James S. Hodges – Research Synthesis Methods, 2024
Meta-analysis is commonly used to combine results from multiple clinical trials, but traditional meta-analysis methods do not refer explicitly to a population of individuals to whom the results apply and it is not clear how to use their results to assess a treatment's effect for a population of interest. We describe recently-introduced causally…
Descriptors: Meta Analysis, Causal Models, Outcomes of Treatment, Medical Research
Hans-Peter Piepho; Laurence V. Madden; Emlyn R. Williams – Research Synthesis Methods, 2024
Methods of network meta-analysis (NMA) can be classified as arm-based and contrast-based approaches. There are several arm-based approaches, and some of these have been criticized because they recover inter-study information and hence do not obey the principle of concurrent control. Here, we point out that recovery of inter-study information in…
Descriptors: Meta Analysis, Models, Methods, Data Collection
Stephan B. Bruns; Teshome K. Deressa; T. D. Stanley; Chris Doucouliagos; John P. A. Ioannidis – Research Synthesis Methods, 2024
Using a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases. Comparing observed p-values with counterfactually expected p-values allows us to estimate how many p-values are published as being statistically significant when they should have been…
Descriptors: Meta Analysis, Research Reports, Research Design, Microeconomics
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Journal of Educational and Behavioral Statistics, 2025
This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…
Descriptors: Data Use, Computation, Effect Size, Meta Analysis
Wan Nurfarahiyah Wan Liah; Hutkemri Zulnaidi; Husaina Banu Kenayathulla – International Journal of Educational Management, 2025
Purpose: This paper aims to examine the key domains and prevailing trends in the context of teacher effectiveness while proposing directions for future research in this area. Design/methodology/approach: Utilising the Science Citation Index Expanded and Social Sciences Citation Index databases within Scopus, covering the period from 2014 to 2024,…
Descriptors: Literature Reviews, Bibliometrics, Teacher Effectiveness, Educational Trends
John Hattie; Timothy O'Leary – Educational Psychology Review, 2025
The persistence of learning styles as a concept in educational discourse and research is paradoxical, given the overwhelming evidence discrediting the matching hypothesis, the notion that aligning teaching methods with students' preferred learning styles enhances achievement. This paper examines the resurgence of learning styles across…
Descriptors: Cognitive Style, Meta Analysis, Learning Strategies, Correlation
Rahel L. van Eickels; Magdalena Siegel; Alice J. Juhasz; Martina Zemp – Child Development, 2025
Empirical findings on the associations of positive and dysfunctional parent--child relationship (PPCR/DPCR) characteristics with child shame, adaptive guilt, and maladaptive guilt were synthesized in six meta-analyses. The 65 included samples yielded 633 effect sizes (N[subscript total] = 19,144; M[subscript age] = 15.24 years; 59.0% female; 67.7%…
Descriptors: Parent Child Relationship, Psychological Patterns, Child Development, Meta Analysis
Furuya-Kanamori, Luis; Lin, Lifeng; Kostoulas, Polychronis; Clark, Justin; Xu, Chang – Research Synthesis Methods, 2023
Limiting the search date is a common approach utilised in therapeutic/interventional rapid reviews. Yet the accuracy of pooled estimates is unknown when applied to rapid reviews of diagnostic test accuracy studies. Data from all systematic reviews of diagnostic test accuracy studies published in the Cochrane Database of Systematic Reviews, until…
Descriptors: Diagnostic Tests, Accuracy, Meta Analysis, Item Banks
Li, Hua; Shih, Ming-Chieh; Song, Cheng-Jie; Tu, Yu-Kang – Research Synthesis Methods, 2023
Network meta-analysis combines direct and indirect evidence to compare multiple treatments. As direct evidence for one treatment contrast may be indirect evidence for other treatment contrasts, biases in the direct evidence for one treatment contrast may affect not only the estimate for this particular treatment contrast but also estimates of…
Descriptors: Network Analysis, Meta Analysis, Bias, Evidence
Schmid, Matthias; Friede, Tim; Klein, Nadja; Weinhold, Leonie – Research Synthesis Methods, 2023
Recent years have seen the development of many novel scoring tools for disease prognosis and prediction. To become accepted for use in clinical applications, these tools have to be validated on external data. In practice, validation is often hampered by logistical issues, resulting in multiple small-sized validation studies. It is therefore…
Descriptors: Probability, Meta Analysis, Time, Test Validity
Süreyya Yörük; Sedat Sen – Creativity Research Journal, 2023
The Creative Achievement Questionnaire (CAQ) is widely used to measure the creative achievement levels of individuals. Previous studies reported a varying range of reliability coefficients for the CAQ. To this date, no study has investigated the variability in the reliability coefficients of the CAQ. A random-effects reliability generalization…
Descriptors: Reliability, Generalization, Meta Analysis, Creativity
James Pustejovsky; Jingru Zhang; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2023
Background/Context: In meta-analyses examining educational interventions, researchers seek to understand the distribution of intervention impacts, in order to draw generalizations about what works, for whom, and under what conditions. One common way to examine equity implications in such reviews is through moderator analysis, which involves…
Descriptors: Meta Analysis, Effect Size, Statistics, Regression (Statistics)
David Pérez-Castejón; María Begoña Vigo-Arrazola – European Journal of Teacher Education, 2024
Changing attitudes and perceptions allied to the values of diversity and inclusive education is a recognised challenge in ITE (Initial Teacher Education). Using meta-ethnographic methods, this article aims to describe how preservice teachers' attitudes or perceptions towards inclusive education can be developed during ITE. The results show the…
Descriptors: Inclusion, Preservice Teachers, Teacher Attitudes, Meta Analysis
Peter J. Godolphin; Nadine Marlin; Chantelle Cornett; David J. Fisher; Jayne F. Tierney; Ian R. White; Ewelina Rogozinska – Research Synthesis Methods, 2024
Individual participant data (IPD) meta-analyses of randomised trials are considered a reliable way to assess participant-level treatment effect modifiers but may not make the best use of the available data. Traditionally, effect modifiers are explored one covariate at a time, which gives rise to the possibility that evidence of treatment-covariate…
Descriptors: Meta Analysis, Randomized Controlled Trials, Statistical Analysis, Participant Characteristics
Maya B. Mathur – Research Synthesis Methods, 2024
Meta-analyses can be compromised by studies' internal biases (e.g., confounding in nonrandomized studies) as well as publication bias. These biases often operate nonadditively: publication bias that favors significant, positive results selects indirectly for studies with more internal bias. We propose sensitivity analyses that address two…
Descriptors: Meta Analysis, Attribution Theory, Publications, Bias

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